Pith Number

pith:MR6A5F5T

pith:2025:MR6A5F5T3WSPHEXSWC2V6OZQ4Y

not attested not anchored not stored refs pending

An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks

Jiaqi Luo, Shixin Xu, Wenrui Hao, Yahong Yang, Yuan Yuan

arxiv:2501.11222 v1 · 2025-01-20 · cs.LG · stat.ML

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\usepackage{pith}
\pithnumber{MR6A5F5T3WSPHEXSWC2V6OZQ4Y}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

1 paper in Pith

Energy Dissipation Rate Guided Adaptive Sampling for Physics-Informed Neural Networks: Resolving Surface-Bulk Dynamics in Allen-Cahn Systems

Receipt and verification

First computed	2026-07-05T10:03:05.332428Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

647c0e97b3dda4f392f2b0b55f3b30e60576681f776ae3a11a70d709e3c5c6d6

Aliases

arxiv: 2501.11222 · arxiv_version: 2501.11222v1 · doi: 10.48550/arxiv.2501.11222 · pith_short_12: MR6A5F5T3WSP · pith_short_16: MR6A5F5T3WSPHEXS · pith_short_8: MR6A5F5T

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/MR6A5F5T3WSPHEXSWC2V6OZQ4Y \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 647c0e97b3dda4f392f2b0b55f3b30e60576681f776ae3a11a70d709e3c5c6d6

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "935af58849aa2f209ac81602a8f8d297b4c5a43050edcf5d0511aa277c733b33",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-20T02:16:03Z",
    "title_canon_sha256": "4a590a6e0de35047fe0df08e68b074cbc21919fa07807a1992c3e57658a10ac6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.11222",
    "kind": "arxiv",
    "version": 1
  }
}